Machine Learning Intern

Job Description:

Integral Ad Science (IAS) is a global technology and data company that builds verification optimization and analytics solutions for the advertising industry and were looking for an ML intern to join our Data Science team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data-points in real-time all while responding in just a few milliseconds then IAS is the place for you!

As an ML Intern you will contribute to the development of scalable techniques for tracking the evolution of clusters in high-dimensional embedding spaces. This project focuses on online clustering algorithms that can operate efficiently at large scale with applications in understanding dynamic patterns in embeddings over time.

This internship provides a unique opportunity to work at the intersection of unsupervised learning representation learning and large-scale systems.

What youll get to do:

• Explore and implement online clustering algorithms suited for embedding data (e.g. from image text or multimodal models).
• Develop pipelines to track and visualize the temporal evolution of clusters across streaming or periodically updated datasets.
• Investigate state-of-the-art clustering and representation tracking methods (e.g. streaming k-means incremental DBSCAN vector quantization).
• Design and run experiments to benchmark clustering stability scalability and interpretability.
• Work closely with AI researchers and engineers to integrate clustering insights into downstream model or product pipelines.
• You should apply if you have most of this experience:
• Currently pursuing or recently completed a degree in Computer Science Machine Learning Applied Mathematics or a related field.
• Solid understanding of clustering algorithms high-dimensional embeddings and unsupervised learning.
• Proficiency in Python and experience with ML/AI libraries such as PyTorch scikit-learn or TensorFlow.
• Comfort working with large datasets and scalable data processing tools (e.g. NumPy pandas or PySpark).
• A strong interest in dynamic systems time-evolving data or streaming algorithms.
  

What puts you over the top:

• Prior experience with large-scale clustering streaming algorithms or online learning frameworks.
• Familiarity with embedding techniques used in image text or multimodal models (e.g. CLIP BERT ViTs).
• Contributions to visualization tools or dashboards that make unsupervised patterns interpretable.
• Curiosity for building robust AI systems that can adapt and evolve over time.
  

About Integral Ad Science:

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industrys most actionable data to drive superior results for the worlds largest advertisers publishers and media platforms. IASs software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information visit .

Equal Opportunity Employer:

IAS is an equal opportunity employer committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race color nationality gender gender identity or expression sexual orientation religion disability or age. We strongly encourage women people of color members of the LGBTQIA community people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

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Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner please send an email introducing your company to We will get back to you if theres interest in a partnership.